Dr. Mert Gur

Associate Professor

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Biography

Mert Gur specializes in solving problems at the intersection of medicine, biology, and engineering using computational modeling and statistical thermodynamics methods. His research interests focus on protein systems known to be potential drug targets and proteins that constitute complex functional machinery, comparable to macroscopic machines encountered in daily life. He performs atomistic molecular dynamics simulations and elastic network models to model the transition of protein states and explore the corresponding energetics for functional inferences. His work investigates disease-related mutations and their effects on protein structure, dynamics, and function, contributing to the design of therapeutic strategies. Current projects include investigating HLA-B51 as a potential drug target for Behcet’s disease, analyzing mutations in colon and breast cancer patients, and modeling nanobodies targeting variants of the SARS-CoV-2 Spike proteins. Additionally, Mert closely collaborates with the Ivet Bahar lab to gain deeper insights into allostery and engineering tandem-repeat proteins for new functionalities.

Research Interests

Experience

Associate Professor

— Present

Department of Computational and Systems Biology • Pittsburgh, PA

Teaching and conducting research at the intersection of computational modeling and biological systems.

Requirements for University of Pittsburgh

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:90
IELTS
Overall
Required:7
GRE General
Prerequisites
3 semesters of Calculus 1 semester of Linear Algebra Introductory Statistics
Application Checklist
  • Online application
  • Official transcripts
  • 3 letters of recommendation
  • Statement of purpose
  • Resume/CV
  • Application fee
Specialization Notes

The Statistics MS program focuses on mathematical statistics and applied statistics.